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gpt

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  1. .config/.last_opt_in_prompt.yaml +1 -0
  2. .config/.last_survey_prompt.yaml +1 -0
  3. .config/.last_update_check.json +1 -0
  4. .config/active_config +1 -0
  5. .config/config_sentinel +0 -0
  6. .config/configurations/config_default +6 -0
  7. .config/default_configs.db +0 -0
  8. .config/gce +1 -0
  9. .config/hidden_gcloud_config_universe_descriptor_data_cache_configs.db +0 -0
  10. .config/logs/2025.04.25/17.43.11.944314.log +765 -0
  11. .config/logs/2025.04.25/17.43.36.962838.log +5 -0
  12. .config/logs/2025.04.25/17.43.46.133364.log +153 -0
  13. .config/logs/2025.04.25/17.43.48.364892.log +5 -0
  14. .config/logs/2025.04.25/17.43.57.236852.log +8 -0
  15. .config/logs/2025.04.25/17.43.57.933676.log +8 -0
  16. .gitattributes +3 -0
  17. sample_data/README.md +19 -0
  18. sample_data/anscombe.json +49 -0
  19. sample_data/california_housing_test.csv +0 -0
  20. sample_data/california_housing_train.csv +0 -0
  21. sample_data/mnist_test.csv +3 -0
  22. sample_data/mnist_train_small.csv +3 -0
  23. saved/model_euclid/gpt2lm_euclid.pth +3 -0
  24. saved/model_euclid/learning_curve.png +0 -0
  25. saved/model_euclid/perplexity_log.txt +20 -0
  26. train.py +334 -0
  27. wiki2.test.txt +0 -0
  28. wiki2.train.txt +3 -0
  29. wiki2.valid.txt +0 -0
.config/.last_opt_in_prompt.yaml ADDED
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+ {}
.config/.last_survey_prompt.yaml ADDED
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+ last_prompt_time: 1745603025.4993742
.config/.last_update_check.json ADDED
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+ {"last_update_check_time": 1745603027.8462982, "last_update_check_revision": 20250418150427, "notifications": [], "last_nag_times": {}}
.config/active_config ADDED
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+ default
.config/config_sentinel ADDED
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.config/configurations/config_default ADDED
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+ [component_manager]
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+ disable_update_check = true
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+ [compute]
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+ gce_metadata_read_timeout_sec = 0
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.config/default_configs.db ADDED
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.config/gce ADDED
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.config/logs/2025.04.25/17.43.11.944314.log ADDED
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+ 2025-04-25 17:43:28,097 INFO ___FILE_ONLY___ ╠═ Downloading: Cloud Storage Command Line Tool ═╣
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+ 2025-04-25 17:43:28,100 DEBUG urllib3.connectionpool Starting new HTTPS connection (1): dl.google.com:443
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+ 2025-04-25 17:43:28,356 DEBUG urllib3.connectionpool https://dl.google.com:443 "GET /dl/cloudsdk/channels/rapid/components/google-cloud-sdk-gsutil-20250418150427.tar.gz HTTP/11" 200 12382702
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+ 2025-04-25 17:43:28,428 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
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+ 2025-04-25 17:43:28,428 INFO ___FILE_ONLY___ ╠═ Downloading: Cloud Storage Command Line Tool (Platfor... ═╣
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+ 2025-04-25 17:43:28,428 INFO ___FILE_ONLY___ ╚
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+ 2025-04-25 17:43:28,432 DEBUG urllib3.connectionpool Starting new HTTPS connection (1): dl.google.com:443
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+ 2025-04-25 17:43:28,665 DEBUG urllib3.connectionpool https://dl.google.com:443 "GET /dl/cloudsdk/channels/rapid/components/google-cloud-sdk-gsutil-nix-20240830134514.tar.gz HTTP/11" 200 1928
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+ 2025-04-25 17:43:28,666 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
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+ 2025-04-25 17:43:28,668 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
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+ 2025-04-25 17:43:28,668 INFO ___FILE_ONLY___ ╠═ Downloading: Default set of gcloud commands ═╣
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+ 2025-04-25 17:43:28,669 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
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+ 2025-04-25 17:43:28,669 INFO ___FILE_ONLY___ ╝
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+ 2025-04-25 17:43:28,670 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
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+ 2025-04-25 17:43:28,670 INFO ___FILE_ONLY___ ╠═ Downloading: Google Cloud CLI Core Libraries (Platfor... ═╣
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+ 2025-04-25 17:43:28,671 INFO ___FILE_ONLY___ ╚
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+ 2025-04-25 17:43:28,674 DEBUG urllib3.connectionpool Starting new HTTPS connection (1): dl.google.com:443
394
+ 2025-04-25 17:43:28,900 DEBUG urllib3.connectionpool https://dl.google.com:443 "GET /dl/cloudsdk/channels/rapid/components/google-cloud-sdk-core-nix-20240830134514.tar.gz HTTP/11" 200 2306
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+ 2025-04-25 17:43:28,901 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
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+ 2025-04-25 17:43:28,903 INFO ___FILE_ONLY___ ╠═ Downloading: Google Cloud CRC32C Hash Tool ═╣
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+ 2025-04-25 17:43:28,905 INFO ___FILE_ONLY___ ╠═ Downloading: Google Cloud CRC32C Hash Tool (Platform ... ═╣
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+ 2025-04-25 17:43:28,909 DEBUG urllib3.connectionpool Starting new HTTPS connection (1): dl.google.com:443
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+ 2025-04-25 17:43:29,136 DEBUG urllib3.connectionpool https://dl.google.com:443 "GET /dl/cloudsdk/channels/rapid/components/google-cloud-sdk-gcloud-crc32c-linux-x86_64-20250110133808.tar.gz HTTP/11" 200 1478989
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+ 2025-04-25 17:43:29,158 INFO ___FILE_ONLY___ ═
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+ 2025-04-25 17:43:29,158 INFO ___FILE_ONLY___ ═
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+ 2025-04-25 17:43:29,158 INFO ___FILE_ONLY___ ═
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+ 2025-04-25 17:43:29,158 INFO ___FILE_ONLY___ ═
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+ 2025-04-25 17:43:29,158 INFO ___FILE_ONLY___ ═
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+ 2025-04-25 17:43:29,158 INFO ___FILE_ONLY___ ═
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+ 2025-04-25 17:43:29,158 INFO ___FILE_ONLY___ ═
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+ 2025-04-25 17:43:29,158 INFO ___FILE_ONLY___ ═
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+ 2025-04-25 17:43:29,158 INFO ___FILE_ONLY___ ═
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+ 2025-04-25 17:43:29,158 INFO ___FILE_ONLY___ ╝
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+
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+ 2025-04-25 17:43:29,160 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
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+ 2025-04-25 17:43:29,161 INFO ___FILE_ONLY___ ╠═ Downloading: gcloud cli dependencies (Platform Specific) ═╣
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+ 2025-04-25 17:43:29,161 INFO ___FILE_ONLY___ ╚
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+ 2025-04-25 17:43:29,165 DEBUG urllib3.connectionpool Starting new HTTPS connection (1): dl.google.com:443
481
+ 2025-04-25 17:43:29,408 DEBUG urllib3.connectionpool https://dl.google.com:443 "GET /dl/cloudsdk/channels/rapid/components/google-cloud-sdk-gcloud-deps-linux-x86_64-20210416153011.tar.gz HTTP/11" 200 104
482
+ 2025-04-25 17:43:29,409 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
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+ 2025-04-25 17:43:29,409 INFO ___FILE_ONLY___ ╝
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+
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+ 2025-04-25 17:43:29,411 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
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+ 2025-04-25 17:43:29,411 INFO ___FILE_ONLY___ ╠═ Installing: BigQuery Command Line Tool ═╣
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+ 2025-04-25 17:43:29,411 INFO ___FILE_ONLY___ ╚
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+ 2025-04-25 17:43:29,530 INFO ___FILE_ONLY___ ═
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+ 2025-04-25 17:43:29,583 INFO ___FILE_ONLY___ ═
511
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512
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513
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514
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515
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516
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517
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518
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519
+ 2025-04-25 17:43:29,604 INFO ___FILE_ONLY___ ═
520
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521
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522
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523
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524
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525
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526
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527
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528
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529
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530
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531
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532
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533
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534
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535
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536
+ 2025-04-25 17:43:29,664 INFO ___FILE_ONLY___ ═
537
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538
+ 2025-04-25 17:43:29,670 INFO ___FILE_ONLY___ ═
539
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540
+ 2025-04-25 17:43:29,676 INFO ___FILE_ONLY___ ═
541
+ 2025-04-25 17:43:29,680 INFO ___FILE_ONLY___ ═
542
+ 2025-04-25 17:43:29,682 INFO ___FILE_ONLY___ ═
543
+ 2025-04-25 17:43:29,684 INFO ___FILE_ONLY___ ═
544
+ 2025-04-25 17:43:29,687 INFO ___FILE_ONLY___ ═
545
+ 2025-04-25 17:43:29,690 INFO ___FILE_ONLY___ ═
546
+ 2025-04-25 17:43:29,692 INFO ___FILE_ONLY___ ═
547
+ 2025-04-25 17:43:29,695 INFO ___FILE_ONLY___ ═
548
+ 2025-04-25 17:43:29,697 INFO ___FILE_ONLY___ ═
549
+ 2025-04-25 17:43:29,700 INFO ___FILE_ONLY___ ═
550
+ 2025-04-25 17:43:29,700 INFO ___FILE_ONLY___ ╝
551
+
552
+ 2025-04-25 17:43:29,708 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
553
+
554
+ 2025-04-25 17:43:29,708 INFO ___FILE_ONLY___ ╠═ Installing: BigQuery Command Line Tool (Platform Spec... ═╣
555
+
556
+ 2025-04-25 17:43:29,708 INFO ___FILE_ONLY___ ╚
557
+ 2025-04-25 17:43:29,709 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
558
+ 2025-04-25 17:43:29,709 INFO ___FILE_ONLY___ ╝
559
+
560
+ 2025-04-25 17:43:29,715 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
561
+
562
+ 2025-04-25 17:43:29,715 INFO ___FILE_ONLY___ ╠═ Installing: Bundled Python 3.12 ═╣
563
+
564
+ 2025-04-25 17:43:29,715 INFO ___FILE_ONLY___ ╚
565
+ 2025-04-25 17:43:29,719 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
566
+ 2025-04-25 17:43:29,719 INFO ___FILE_ONLY___ ╝
567
+
568
+ 2025-04-25 17:43:29,721 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
569
+
570
+ 2025-04-25 17:43:29,721 INFO ___FILE_ONLY___ ╠═ Installing: Bundled Python 3.12 (Platform Specific) ═╣
571
+
572
+ 2025-04-25 17:43:29,721 INFO ___FILE_ONLY___ ╚
573
+ 2025-04-25 17:43:32,837 INFO ___FILE_ONLY___ ═
574
+ 2025-04-25 17:43:33,330 INFO ___FILE_ONLY___ ═
575
+ 2025-04-25 17:43:33,352 INFO ___FILE_ONLY___ ═
576
+ 2025-04-25 17:43:33,388 INFO ___FILE_ONLY___ ═
577
+ 2025-04-25 17:43:33,410 INFO ___FILE_ONLY___ ═
578
+ 2025-04-25 17:43:33,426 INFO ___FILE_ONLY___ ═
579
+ 2025-04-25 17:43:33,457 INFO ___FILE_ONLY___ ═
580
+ 2025-04-25 17:43:33,478 INFO ___FILE_ONLY___ ═
581
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582
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583
+ 2025-04-25 17:43:33,533 INFO ___FILE_ONLY___ ═
584
+ 2025-04-25 17:43:33,560 INFO ___FILE_ONLY___ ═
585
+ 2025-04-25 17:43:33,703 INFO ___FILE_ONLY___ ═
586
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587
+ 2025-04-25 17:43:33,739 INFO ___FILE_ONLY___ ═
588
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589
+ 2025-04-25 17:43:33,771 INFO ___FILE_ONLY___ ═
590
+ 2025-04-25 17:43:33,789 INFO ___FILE_ONLY___ ═
591
+ 2025-04-25 17:43:33,808 INFO ___FILE_ONLY___ ═
592
+ 2025-04-25 17:43:33,829 INFO ___FILE_ONLY___ ═
593
+ 2025-04-25 17:43:33,846 INFO ___FILE_ONLY___ ═
594
+ 2025-04-25 17:43:33,943 INFO ___FILE_ONLY___ ═
595
+ 2025-04-25 17:43:33,965 INFO ___FILE_ONLY___ ═
596
+ 2025-04-25 17:43:34,463 INFO ___FILE_ONLY___ ═
597
+ 2025-04-25 17:43:34,480 INFO ___FILE_ONLY___ ═
598
+ 2025-04-25 17:43:34,495 INFO ___FILE_ONLY___ ═
599
+ 2025-04-25 17:43:34,508 INFO ___FILE_ONLY___ ═
600
+ 2025-04-25 17:43:34,522 INFO ___FILE_ONLY___ ═
601
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602
+ 2025-04-25 17:43:34,548 INFO ___FILE_ONLY___ ═
603
+ 2025-04-25 17:43:34,560 INFO ___FILE_ONLY___ ═
604
+ 2025-04-25 17:43:34,572 INFO ___FILE_ONLY___ ═
605
+ 2025-04-25 17:43:34,585 INFO ___FILE_ONLY___ ═
606
+ 2025-04-25 17:43:34,598 INFO ___FILE_ONLY___ ═
607
+ 2025-04-25 17:43:34,611 INFO ___FILE_ONLY___ ═
608
+ 2025-04-25 17:43:34,624 INFO ___FILE_ONLY___ ═
609
+ 2025-04-25 17:43:34,638 INFO ___FILE_ONLY___ ═
610
+ 2025-04-25 17:43:34,651 INFO ___FILE_ONLY___ ═
611
+ 2025-04-25 17:43:34,664 INFO ___FILE_ONLY___ ═
612
+ 2025-04-25 17:43:34,677 INFO ___FILE_ONLY___ ═
613
+ 2025-04-25 17:43:34,690 INFO ___FILE_ONLY___ ═
614
+ 2025-04-25 17:43:34,703 INFO ___FILE_ONLY___ ═
615
+ 2025-04-25 17:43:34,717 INFO ___FILE_ONLY___ ═
616
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617
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618
+ 2025-04-25 17:43:34,757 INFO ___FILE_ONLY___ ═
619
+ 2025-04-25 17:43:34,771 INFO ___FILE_ONLY___ ═
620
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621
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622
+ 2025-04-25 17:43:34,810 INFO ___FILE_ONLY___ ═
623
+ 2025-04-25 17:43:34,823 INFO ___FILE_ONLY___ ═
624
+ 2025-04-25 17:43:34,836 INFO ___FILE_ONLY___ ═
625
+ 2025-04-25 17:43:34,849 INFO ___FILE_ONLY___ ═
626
+ 2025-04-25 17:43:34,862 INFO ___FILE_ONLY___ ═
627
+ 2025-04-25 17:43:34,875 INFO ___FILE_ONLY___ ═
628
+ 2025-04-25 17:43:34,890 INFO ___FILE_ONLY___ ═
629
+ 2025-04-25 17:43:34,907 INFO ___FILE_ONLY___ ═
630
+ 2025-04-25 17:43:34,926 INFO ___FILE_ONLY___ ═
631
+ 2025-04-25 17:43:34,944 INFO ___FILE_ONLY___ ═
632
+ 2025-04-25 17:43:34,961 INFO ___FILE_ONLY___ ═
633
+ 2025-04-25 17:43:34,962 INFO ___FILE_ONLY___ ╝
634
+
635
+ 2025-04-25 17:43:35,017 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
636
+
637
+ 2025-04-25 17:43:35,017 INFO ___FILE_ONLY___ ╠═ Installing: Cloud Storage Command Line Tool ═╣
638
+
639
+ 2025-04-25 17:43:35,017 INFO ___FILE_ONLY___ ╚
640
+ 2025-04-25 17:43:35,540 INFO ___FILE_ONLY___ ═
641
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642
+ 2025-04-25 17:43:35,563 INFO ___FILE_ONLY___ ═
643
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644
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645
+ 2025-04-25 17:43:35,621 INFO ___FILE_ONLY___ ═
646
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647
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648
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649
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650
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651
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652
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653
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654
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655
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656
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657
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658
+ 2025-04-25 17:43:35,791 INFO ___FILE_ONLY___ ═
659
+ 2025-04-25 17:43:35,801 INFO ___FILE_ONLY___ ═
660
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661
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662
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663
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664
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665
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666
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667
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668
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669
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670
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671
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672
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673
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674
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675
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676
+ 2025-04-25 17:43:36,041 INFO ___FILE_ONLY___ ═
677
+ 2025-04-25 17:43:36,056 INFO ___FILE_ONLY___ ═
678
+ 2025-04-25 17:43:36,070 INFO ___FILE_ONLY___ ═
679
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680
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681
+ 2025-04-25 17:43:36,106 INFO ___FILE_ONLY___ ═
682
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683
+ 2025-04-25 17:43:36,128 INFO ___FILE_ONLY___ ═
684
+ 2025-04-25 17:43:36,139 INFO ___FILE_ONLY___ ═
685
+ 2025-04-25 17:43:36,149 INFO ___FILE_ONLY___ ═
686
+ 2025-04-25 17:43:36,159 INFO ___FILE_ONLY___ ═
687
+ 2025-04-25 17:43:36,169 INFO ___FILE_ONLY___ ═
688
+ 2025-04-25 17:43:36,180 INFO ___FILE_ONLY___ ═
689
+ 2025-04-25 17:43:36,193 INFO ___FILE_ONLY___ ═
690
+ 2025-04-25 17:43:36,207 INFO ___FILE_ONLY___ ═
691
+ 2025-04-25 17:43:36,222 INFO ___FILE_ONLY___ ═
692
+ 2025-04-25 17:43:36,234 INFO ___FILE_ONLY___ ═
693
+ 2025-04-25 17:43:36,248 INFO ___FILE_ONLY___ ═
694
+ 2025-04-25 17:43:36,261 INFO ___FILE_ONLY___ ═
695
+ 2025-04-25 17:43:36,276 INFO ___FILE_ONLY___ ═
696
+ 2025-04-25 17:43:36,294 INFO ___FILE_ONLY___ ═
697
+ 2025-04-25 17:43:36,315 INFO ___FILE_ONLY___ ═
698
+ 2025-04-25 17:43:36,332 INFO ___FILE_ONLY___ ═
699
+ 2025-04-25 17:43:36,351 INFO ___FILE_ONLY___ ═
700
+ 2025-04-25 17:43:36,351 INFO ___FILE_ONLY___ ╝
701
+
702
+ 2025-04-25 17:43:36,381 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
703
+
704
+ 2025-04-25 17:43:36,382 INFO ___FILE_ONLY___ ╠═ Installing: Cloud Storage Command Line Tool (Platform... ═╣
705
+
706
+ 2025-04-25 17:43:36,382 INFO ___FILE_ONLY___ ╚
707
+ 2025-04-25 17:43:36,382 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
708
+ 2025-04-25 17:43:36,383 INFO ___FILE_ONLY___ ╝
709
+
710
+ 2025-04-25 17:43:36,387 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
711
+
712
+ 2025-04-25 17:43:36,387 INFO ___FILE_ONLY___ ╠═ Installing: Default set of gcloud commands ═╣
713
+
714
+ 2025-04-25 17:43:36,387 INFO ___FILE_ONLY___ ╚
715
+ 2025-04-25 17:43:36,389 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
716
+ 2025-04-25 17:43:36,389 INFO ___FILE_ONLY___ ╝
717
+
718
+ 2025-04-25 17:43:36,391 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
719
+
720
+ 2025-04-25 17:43:36,391 INFO ___FILE_ONLY___ ╠═ Installing: Google Cloud CLI Core Libraries (Platform... ═╣
721
+
722
+ 2025-04-25 17:43:36,391 INFO ___FILE_ONLY___ ╚
723
+ 2025-04-25 17:43:36,392 INFO ___FILE_ONLY___ ══════════════════════════════
724
+ 2025-04-25 17:43:36,392 INFO ___FILE_ONLY___ ══════════════════════════════
725
+ 2025-04-25 17:43:36,392 INFO ___FILE_ONLY___ ╝
726
+
727
+ 2025-04-25 17:43:36,396 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
728
+
729
+ 2025-04-25 17:43:36,396 INFO ___FILE_ONLY___ ╠═ Installing: Google Cloud CRC32C Hash Tool ═╣
730
+
731
+ 2025-04-25 17:43:36,396 INFO ___FILE_ONLY___ ╚
732
+ 2025-04-25 17:43:36,398 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
733
+ 2025-04-25 17:43:36,398 INFO ___FILE_ONLY___ ╝
734
+
735
+ 2025-04-25 17:43:36,400 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
736
+
737
+ 2025-04-25 17:43:36,400 INFO ___FILE_ONLY___ ╠═ Installing: Google Cloud CRC32C Hash Tool (Platform S... ═╣
738
+
739
+ 2025-04-25 17:43:36,400 INFO ___FILE_ONLY___ ╚
740
+ 2025-04-25 17:43:36,438 INFO ___FILE_ONLY___ ══════════════════════════════
741
+ 2025-04-25 17:43:36,438 INFO ___FILE_ONLY___ ══════════════════════════════
742
+ 2025-04-25 17:43:36,439 INFO ___FILE_ONLY___ ╝
743
+
744
+ 2025-04-25 17:43:36,443 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
745
+
746
+ 2025-04-25 17:43:36,444 INFO ___FILE_ONLY___ ╠═ Installing: gcloud cli dependencies (Platform Specific) ═╣
747
+
748
+ 2025-04-25 17:43:36,444 INFO ___FILE_ONLY___ ╚
749
+ 2025-04-25 17:43:36,444 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
750
+ 2025-04-25 17:43:36,444 INFO ___FILE_ONLY___ ╝
751
+
752
+ 2025-04-25 17:43:36,449 DEBUG root Updating notification cache...
753
+ 2025-04-25 17:43:36,449 INFO ___FILE_ONLY___
754
+
755
+ 2025-04-25 17:43:36,451 INFO ___FILE_ONLY___ Performing post processing steps...
756
+ 2025-04-25 17:43:36,451 DEBUG root Executing command: ['/tools/google-cloud-sdk/bin/gcloud', 'components', 'post-process']
757
+ 2025-04-25 17:43:45,301 DEBUG ___FILE_ONLY___
758
+ 2025-04-25 17:43:45,302 DEBUG ___FILE_ONLY___
759
+ 2025-04-25 17:43:45,495 INFO root descriptor_list: [{'universeDomain': 'googleapis.com', 'universeShortName': '', 'authenticationDomain': 'auth.cloud.google.com', 'projectPrefix': '', 'cloudWebDomain': 'cloud.google.com', 'documentationDomain': 'cloud.google.com', 'version': '1.0.0', 'state': 'primary', 'artifactRegistryDomain': 'pkg.dev'}]
760
+ 2025-04-25 17:43:45,495 INFO ___FILE_ONLY___
761
+ Update done!
762
+
763
+
764
+ 2025-04-25 17:43:45,498 DEBUG root Chosen display Format:none
765
+ 2025-04-25 17:43:45,498 INFO root Display format: "none"
.config/logs/2025.04.25/17.43.36.962838.log ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ 2025-04-25 17:43:36,963 DEBUG root Loaded Command Group: ['gcloud', 'components']
2
+ 2025-04-25 17:43:36,965 DEBUG root Loaded Command Group: ['gcloud', 'components', 'post_process']
3
+ 2025-04-25 17:43:36,967 DEBUG root Running [gcloud.components.post-process] with arguments: []
4
+ 2025-04-25 17:43:45,190 DEBUG root Chosen display Format:none
5
+ 2025-04-25 17:43:45,190 INFO root Display format: "none"
.config/logs/2025.04.25/17.43.46.133364.log ADDED
@@ -0,0 +1,153 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2025-04-25 17:43:46,134 DEBUG root Loaded Command Group: ['gcloud', 'components']
2
+ 2025-04-25 17:43:46,136 DEBUG root Loaded Command Group: ['gcloud', 'components', 'update']
3
+ 2025-04-25 17:43:46,138 DEBUG root Running [gcloud.components.update] with arguments: [--quiet: "True", COMPONENT-IDS:8: "['gcloud', 'core', 'bq', 'gsutil', 'compute', 'preview', 'alpha', 'beta']"]
4
+ 2025-04-25 17:43:46,139 INFO ___FILE_ONLY___ Beginning update. This process may take several minutes.
5
+
6
+ 2025-04-25 17:43:46,147 DEBUG urllib3.connectionpool Starting new HTTPS connection (1): dl.google.com:443
7
+ 2025-04-25 17:43:46,388 DEBUG urllib3.connectionpool https://dl.google.com:443 "GET /dl/cloudsdk/channels/rapid/components-2.json HTTP/11" 200 226135
8
+ 2025-04-25 17:43:46,401 WARNING root Component [compute] no longer exists.
9
+ 2025-04-25 17:43:46,401 INFO ___FILE_ONLY___
10
+
11
+ 2025-04-25 17:43:46,402 INFO ___FILE_ONLY___
12
+ Your current Google Cloud CLI version is: 519.0.0
13
+
14
+ 2025-04-25 17:43:46,402 INFO ___FILE_ONLY___ Installing components from version: 519.0.0
15
+
16
+ 2025-04-25 17:43:46,402 INFO ___FILE_ONLY___
17
+
18
+ 2025-04-25 17:43:46,402 DEBUG root Chosen display Format:table[box,title="These components will be removed."](details.display_name:label=Name:align=left,version.version_string:label=Version:align=right,data.size.size(zero="",min=1048576):label=Size:align=right)
19
+ 2025-04-25 17:43:46,403 DEBUG root Chosen display Format:table[box,title="These components will be updated."](details.display_name:label=Name:align=left,version.version_string:label=Version:align=right,data.size.size(zero="",min=1048576):label=Size:align=right)
20
+ 2025-04-25 17:43:46,403 DEBUG root Chosen display Format:table[box,title="These components will be installed."](details.display_name:label=Name:align=left,version.version_string:label=Version:align=right,data.size.size(zero="",min=1048576):label=Size:align=right)
21
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@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ This directory includes a few sample datasets to get you started.
2
+
3
+ * `california_housing_data*.csv` is California housing data from the 1990 US
4
+ Census; more information is available at:
5
+ https://docs.google.com/document/d/e/2PACX-1vRhYtsvc5eOR2FWNCwaBiKL6suIOrxJig8LcSBbmCbyYsayia_DvPOOBlXZ4CAlQ5nlDD8kTaIDRwrN/pub
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+
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+ * `mnist_*.csv` is a small sample of the
8
+ [MNIST database](https://en.wikipedia.org/wiki/MNIST_database), which is
9
+ described at: http://yann.lecun.com/exdb/mnist/
10
+
11
+ * `anscombe.json` contains a copy of
12
+ [Anscombe's quartet](https://en.wikipedia.org/wiki/Anscombe%27s_quartet); it
13
+ was originally described in
14
+
15
+ Anscombe, F. J. (1973). 'Graphs in Statistical Analysis'. American
16
+ Statistician. 27 (1): 17-21. JSTOR 2682899.
17
+
18
+ and our copy was prepared by the
19
+ [vega_datasets library](https://github.com/altair-viz/vega_datasets/blob/4f67bdaad10f45e3549984e17e1b3088c731503d/vega_datasets/_data/anscombe.json).
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1
+ import argparse
2
+ import os
3
+ import sys
4
+ import shutil
5
+ import random
6
+ import numpy as np
7
+ import time
8
+ import copy
9
+ import math
10
+ import matplotlib.pyplot as plt
11
+
12
+ import torch
13
+ import torch.nn.functional as F
14
+ import torch.nn as nn
15
+ from torch.autograd import Variable
16
+ import transformers
17
+ from transformers import GPT2TokenizerFast
18
+
19
+ # ---------------------------
20
+ # Utility masks & helpers
21
+ # ---------------------------
22
+
23
+ def subsequent_mask(size):
24
+ """Mask out subsequent positions for autoregressive decoding."""
25
+ attn_shape = (1, size, size)
26
+ mask = torch.triu(torch.ones(attn_shape), diagonal=1).bool()
27
+ return mask
28
+
29
+
30
+ def read_corpus(filename, tokenizer):
31
+ """Tokenise a plain‑text corpus into a single long id sequence."""
32
+ seq = []
33
+ with open(filename, "rt") as f:
34
+ for line in f:
35
+ line = line.rstrip("\n")
36
+ tokens = tokenizer(line)
37
+ seq.extend(tokens["input_ids"])
38
+ return seq
39
+
40
+ # ---------------------------
41
+ # Embedding & positional code
42
+ # ---------------------------
43
+
44
+ class Embedder(nn.Module):
45
+ def __init__(self, vocab_size, d_model):
46
+ super().__init__()
47
+ self.d_model = d_model
48
+ self.embed = nn.Embedding(vocab_size, d_model)
49
+
50
+ def forward(self, x):
51
+ return self.embed(x.long())
52
+
53
+
54
+ class PositionalEncoder(nn.Module):
55
+ def __init__(self, d_model, max_seq_len: int = 4096, dropout: float = 0.1):
56
+ super().__init__()
57
+ self.d_model = d_model
58
+ self.dropout = nn.Dropout(dropout)
59
+
60
+ pe = torch.zeros(max_seq_len, d_model)
61
+ position = torch.arange(0, max_seq_len, dtype=torch.float).unsqueeze(1)
62
+ div_term = torch.exp(torch.arange(0, d_model, 2).float() * (-math.log(10000.0) / d_model))
63
+ pe[:, 0::2] = torch.sin(position * div_term)
64
+ pe[:, 1::2] = torch.cos(position * div_term)
65
+ pe = pe.unsqueeze(0)
66
+ self.register_buffer("pe", pe)
67
+
68
+ def forward(self, x):
69
+ x = x * math.sqrt(self.d_model)
70
+ seq_len = x.size(1)
71
+ x = x + self.pe[:, :seq_len]
72
+ return self.dropout(x)
73
+
74
+
75
+ class Norm(nn.Module):
76
+ """Layer‑norm with learnable gain/bias (identical to nn.LayerNorm but explicit)."""
77
+
78
+ def __init__(self, d_model: int, eps: float = 1e-6):
79
+ super().__init__()
80
+ self.size = d_model
81
+ self.alpha = nn.Parameter(torch.ones(d_model))
82
+ self.bias = nn.Parameter(torch.zeros(d_model))
83
+ self.eps = eps
84
+
85
+ def forward(self, x):
86
+ return self.alpha * (x - x.mean(dim=-1, keepdim=True)) / (x.std(dim=-1, keepdim=True) + self.eps) + self.bias
87
+
88
+ # ---------------------------
89
+ # Attention (Euclidean metric)
90
+ # ---------------------------
91
+
92
+ def euclidean_attention(q: torch.Tensor, k: torch.Tensor, v: torch.Tensor, d_k: int, mask=None, dropout=None):
93
+ """Scaled Euclidean‑distance attention.
94
+
95
+ Attention weights are computed from *negative scaled squared Euclidean distances*:
96
+ score_{ij} = -||q_i - k_j||^2 / sqrt(d_k)
97
+ A softmax over the key dimension then yields the usual attention distribution.
98
+ """
99
+ # q, k, v: (bs, h, len, d_k)
100
+ # Compute ||q||^2 and ||k||^2 terms
101
+ q_norm = (q ** 2).sum(dim=-1, keepdim=True) # (bs, h, len_q, 1)
102
+ k_norm = (k ** 2).sum(dim=-1).unsqueeze(-2) # (bs, h, 1, len_k)
103
+ # Pairwise squared distances via (a-b)^2 = a^2 + b^2 - 2ab
104
+ scores = q_norm + k_norm - 2 * torch.matmul(q, k.transpose(-2, -1)) # (bs, h, len_q, len_k)
105
+ scores = -scores / math.sqrt(d_k) # negate & scale so that *smaller distance => larger score*
106
+
107
+ if mask is not None:
108
+ mask = mask.unsqueeze(1) # broadcast across heads
109
+ scores = scores.masked_fill(mask == 0, -1e9)
110
+
111
+ attn = F.softmax(scores, dim=-1)
112
+ if dropout is not None:
113
+ attn = dropout(attn)
114
+ output = torch.matmul(attn, v)
115
+ return output
116
+
117
+
118
+ class MultiHeadAttention(nn.Module):
119
+ def __init__(self, heads: int, d_model: int, dropout: float = 0.1):
120
+ super().__init__()
121
+ assert d_model % heads == 0, "d_model must be divisible by heads"
122
+ self.d_k = d_model // heads
123
+ self.h = heads
124
+
125
+ self.q_linear = nn.Linear(d_model, d_model)
126
+ self.k_linear = nn.Linear(d_model, d_model)
127
+ self.v_linear = nn.Linear(d_model, d_model)
128
+ self.dropout = nn.Dropout(dropout)
129
+ self.out = nn.Linear(d_model, d_model)
130
+
131
+ def forward(self, q, k, v, mask=None):
132
+ bs = q.size(0)
133
+
134
+ # project and split multi‑head
135
+ k = self.k_linear(k).view(bs, -1, self.h, self.d_k).transpose(1, 2) # (bs, h, len, d_k)
136
+ q = self.q_linear(q).view(bs, -1, self.h, self.d_k).transpose(1, 2)
137
+ v = self.v_linear(v).view(bs, -1, self.h, self.d_k).transpose(1, 2)
138
+
139
+ # Euclidean attention
140
+ scores = euclidean_attention(q, k, v, self.d_k, mask, self.dropout)
141
+
142
+ # merge heads
143
+ concat = scores.transpose(1, 2).contiguous().view(bs, -1, self.h * self.d_k)
144
+ return self.out(concat)
145
+
146
+ # ---------------------------
147
+ # Feed‑forward & decoder
148
+ # ---------------------------
149
+
150
+ class FeedForward(nn.Module):
151
+ def __init__(self, d_model: int, d_ff: int = 2048, dropout: float = 0.1):
152
+ super().__init__()
153
+ self.linear_1 = nn.Linear(d_model, d_ff)
154
+ self.dropout = nn.Dropout(dropout)
155
+ self.linear_2 = nn.Linear(d_ff, d_model)
156
+
157
+ def forward(self, x):
158
+ return self.linear_2(self.dropout(F.relu(self.linear_1(x))))
159
+
160
+
161
+ def get_clones(module, N):
162
+ return nn.ModuleList([copy.deepcopy(module) for _ in range(N)])
163
+
164
+
165
+ class DecoderLayer(nn.Module):
166
+ def __init__(self, d_model: int, heads: int, dropout: float = 0.1):
167
+ super().__init__()
168
+ self.norm_1 = Norm(d_model)
169
+ self.norm_2 = Norm(d_model)
170
+ self.attn = MultiHeadAttention(heads, d_model, dropout)
171
+ self.ff = FeedForward(d_model, dropout=dropout)
172
+ self.dropout_1 = nn.Dropout(dropout)
173
+ self.dropout_2 = nn.Dropout(dropout)
174
+
175
+ def forward(self, x, trg_mask):
176
+ x2 = self.norm_1(x)
177
+ x = x + self.dropout_1(self.attn(x2, x2, x2, trg_mask))
178
+ x2 = self.norm_2(x)
179
+ x = x + self.dropout_2(self.ff(x2))
180
+ return x
181
+
182
+
183
+ class Decoder(nn.Module):
184
+ def __init__(self, vocab_size: int, d_model: int, N: int, heads: int, dropout: float):
185
+ super().__init__()
186
+ self.embed = Embedder(vocab_size, d_model)
187
+ self.pe = PositionalEncoder(d_model, dropout=dropout)
188
+ self.layers = get_clones(DecoderLayer(d_model, heads, dropout), N)
189
+ self.norm = Norm(d_model)
190
+
191
+ def forward(self, x, trg_mask):
192
+ x = self.embed(x)
193
+ x = self.pe(x)
194
+ for layer in self.layers:
195
+ x = layer(x, trg_mask)
196
+ return self.norm(x)
197
+
198
+
199
+ class GPT2LM(nn.Module):
200
+ def __init__(self, vocab_size: int, d_model: int, N: int, heads: int, dropout: float, tie_weights: bool = False):
201
+ super().__init__()
202
+ self.decoder = Decoder(vocab_size, d_model, N, heads, dropout)
203
+ self.out = nn.Linear(d_model, vocab_size)
204
+ if tie_weights:
205
+ self.out.weight = self.decoder.embed.embed.weight
206
+ print("✅ Tied embeddings enabled.")
207
+
208
+ def forward(self, x, mask):
209
+ return self.out(self.decoder(x, mask))
210
+
211
+ # ---------------------------
212
+ # Data batcher
213
+ # ---------------------------
214
+
215
+ def batchify(data, batch_size, seq_len):
216
+ nbatch = len(data) // batch_size
217
+ data = torch.tensor(data[: nbatch * batch_size], dtype=torch.long)
218
+ data = data.view(batch_size, -1)
219
+ for i in range(0, data.size(1) - 1, seq_len):
220
+ seq_len_i = min(seq_len, data.size(1) - 1 - i)
221
+ src = data[:, i : i + seq_len_i]
222
+ tgt = data[:, i + 1 : i + 1 + seq_len_i]
223
+ yield src, tgt
224
+
225
+ # ---------------------------
226
+ # Train / eval loops
227
+ # ---------------------------
228
+
229
+ def train_model(model, opt):
230
+ print("Starting training (Euclidean attention)…")
231
+ model.train()
232
+ train_ppls, valid_ppls = [], []
233
+
234
+ for epoch in range(opt.epochs):
235
+ total_loss, batches = 0.0, 0
236
+ for src, tgt in batchify(opt.train, opt.batchsize, opt.seqlen):
237
+ src, tgt = src.to(opt.device), tgt.to(opt.device)
238
+ mask = subsequent_mask(src.size(1)).to(opt.device)
239
+
240
+ output = model(src, mask)
241
+ loss = F.cross_entropy(output.view(-1, opt.vocab_size), tgt.reshape(-1), ignore_index=opt.src_pad)
242
+
243
+ opt.optimizer.zero_grad()
244
+ loss.backward()
245
+ opt.optimizer.step()
246
+
247
+ total_loss += loss.item()
248
+ batches += 1
249
+
250
+ avg_loss = total_loss / batches
251
+ train_ppl = math.exp(avg_loss)
252
+ train_ppls.append(train_ppl)
253
+ print(f"Epoch {epoch+1}/{opt.epochs} • Train PPL: {train_ppl:.2f}")
254
+
255
+ valid_ppl = evaluate(model, opt.valid, opt, tag=f"valid‑e{epoch+1}")
256
+ valid_ppls.append(valid_ppl)
257
+
258
+ # --- bookkeeping ---
259
+ dir_name = os.path.join("saved", opt.dir_name)
260
+ os.makedirs(dir_name, exist_ok=True)
261
+
262
+ torch.save(model.state_dict(), os.path.join(dir_name, "gpt2lm_euclid.pth"))
263
+
264
+ plt.plot(range(1, opt.epochs + 1), train_ppls, label="Train PPL")
265
+ plt.plot(range(1, opt.epochs + 1), valid_ppls, label="Valid PPL")
266
+ plt.xlabel("Epoch"); plt.ylabel("Perplexity"); plt.title("Euclidean‑Attention GPT‑2 on WikiText‑2")
267
+ plt.legend()
268
+ plt.savefig(os.path.join(dir_name, "learning_curve.png"))
269
+ plt.close()
270
+
271
+ with open(os.path.join(dir_name, "perplexity_log.txt"), "w") as f:
272
+ for i in range(opt.epochs):
273
+ f.write(f"Epoch {i+1}: Train {train_ppls[i]:.2f} Valid {valid_ppls[i]:.2f}\n")
274
+
275
+
276
+ def evaluate(model, data, opt, tag="valid"):
277
+ model.eval()
278
+ total_loss, batches = 0.0, 0
279
+ with torch.no_grad():
280
+ for src, tgt in batchify(data, opt.batchsize, opt.seqlen):
281
+ src, tgt = src.to(opt.device), tgt.to(opt.device)
282
+ mask = subsequent_mask(src.size(1)).to(opt.device)
283
+ output = model(src, mask)
284
+ loss = F.cross_entropy(output.view(-1, opt.vocab_size), tgt.reshape(-1), ignore_index=opt.src_pad)
285
+ total_loss += loss.item()
286
+ batches += 1
287
+ ppl = math.exp(total_loss / batches)
288
+ print(f"{tag.capitalize()} PPL: {ppl:.2f}")
289
+ model.train()
290
+ return ppl
291
+
292
+ # ---------------------------
293
+ # Main entry
294
+ # ---------------------------
295
+
296
+ def main():
297
+ random.seed(10)
298
+
299
+ parser = argparse.ArgumentParser()
300
+ parser.add_argument("-no_cuda", action="store_true")
301
+ parser.add_argument("-epochs", type=int, default=20)
302
+ parser.add_argument("-d_model", type=int, default=512)
303
+ parser.add_argument("-n_layers", type=int, default=6)
304
+ parser.add_argument("-heads", type=int, default=8)
305
+ parser.add_argument("-dropout", type=float, default=0.1)
306
+ parser.add_argument("-batchsize", type=int, default=1)
307
+ parser.add_argument("-lr", type=float, default=1e-5)
308
+ parser.add_argument("-seqlen", type=int, default=512)
309
+ parser.add_argument("-tied", type=int, default=1)
310
+ parser.add_argument("-dir_name", type=str, default="model_euclid")
311
+ opt = parser.parse_args()
312
+
313
+ opt.device = torch.device("cuda:0" if (not opt.no_cuda and torch.cuda.is_available()) else "cpu")
314
+
315
+ tokenizer = GPT2TokenizerFast.from_pretrained("gpt2")
316
+ opt.train = read_corpus("wiki2.train.txt", tokenizer)
317
+ opt.valid = read_corpus("wiki2.valid.txt", tokenizer)
318
+ opt.test = read_corpus("wiki2.test.txt", tokenizer)
319
+
320
+ opt.vocab_size = 50257
321
+ opt.src_pad = opt.trg_pad = 0
322
+
323
+ model = GPT2LM(opt.vocab_size, opt.d_model, opt.n_layers, opt.heads, opt.dropout, tie_weights=(opt.tied == 1)).to(opt.device)
324
+ print(f"Model parameters: {sum(p.numel() for p in model.parameters() if p.requires_grad) / 1e6:.1f}M")
325
+
326
+ opt.optimizer = torch.optim.Adam(model.parameters(), lr=opt.lr, betas=(0.9, 0.98), eps=1e-9)
327
+
328
+ train_model(model, opt)
329
+
330
+ evaluate(model, opt.test, opt, tag="test")
331
+
332
+
333
+ if __name__ == "__main__":
334
+ main()
wiki2.test.txt ADDED
The diff for this file is too large to render. See raw diff
 
wiki2.train.txt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:9e9fa1ad55b1c2c95b08e37dd8e653f638fac2c6de904b79e813611eefbc985f
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+ size 10797148
wiki2.valid.txt ADDED
The diff for this file is too large to render. See raw diff